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Many organizations are finding themselves in that exact situation. Overcome the skepticism and distrust by developing a robust data quality process. Data quality must be at the forefront of any data warehouse and analytics project to guarantee validity and value within the information you receive.
Tampa, FL, (September 23, 2020): HealthAxis takes health plan claims administration software and services to the next level with the release of HxOne; an end-to-end, fully integrated healthcare operations solution. HxOne combines advanced claims system technology, flexible front and back-office services, and actionable analytics.
We complete our series on the most common questions by focusing on our analytics and data solutions. For a quick review, HealthAxis Group offers an array of third-party administrative services that help accelerate productivity, improve processes, and perform cost-efficient operations for Medicare, Medicaid, and commercial plans. We customize service engagements, from outsourcing all plan operations to targeting a single line of service (full list of services).
“Last month, LexisNexis brought together 30 high-level executives, most of whom were CIOs from hospitals, nursing homes and health plans of all sizes from across the county to find out what data-related issues are weighing on them most as we get further into 2018. Ed Domansky, LexisNexis manager of media and analyst relations, and Erin Benson, Director of market planning, said six major themes emerged from their responses. It seems merger and acquisition activity sent waves through the information security sector as well, adding complexity in several areas. Also, innovation continues to be a multifaceted undertaking in that while it can yield clinical and operational gains it also means adding another dimension of risk, especially where security is concerned.” Read the full article.
In today’s world, information travels at gigabit speeds. For business, this means near limitless opportunities to accumulate data and use it to make operations more efficient and therefore more profitable. One of the issues many businesses encounter when compiling all this data is finding an effective use for so much information. Understanding the data and incorporating it into useful business practices is especially problematic in the medical profession.
